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Last Post 14 Feb 2013 06:54 AM by  anon
Computing eigenvectors from a 3D dataset
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anon



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14 Feb 2013 06:54 AM
    Has anyone out there developed or know of any code for calculating the eigenvectors / eigenvalues of a three-dimensional array? All of the standard functions (EIGENVEC, LA_EIGENVEC, etc.) only compute them for nxn matrices. The arrays I'm using are cubic but not symmetric. Any help much appreciated!

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    14 Feb 2013 01:11 PM
    Not really sure but maybe this can help: http://northstar-www.dart...nd_Eigenvectors.html Look for "compute the eigenvalues and eigenvectors of a real, nonsymmetric n-by-n array"

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    15 Feb 2013 09:52 AM
    Thanks for the link, although it just shows examples for the 2D case (i.e. n-by-n), and uses the algorithms provided in the standard IDL distribution. I need an extension to this to allow me to compute the eigenvalues for an n-by-n-by-n array... I have seen some Matlab and C++ code for this, but really don't fancy having to translate it, particularly if there's already something tried and tested in IDL already out there.
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